mirror of
https://github.com/tiennm99/litellm.git
synced 2026-06-17 22:48:35 +00:00
Mateo Wang
c1602587c1
* fix(tests): drop module-level test calls that break local_testing collection Several files in tests/local_testing invoked their test functions at module scope (e.g. test_register_model.py ran test_update_model_cost_via_completion() at the bottom of the file). Those calls execute during pytest collection, so they fire real network requests at import time. test_register_model.py's call hit an OpenAI 429 and raised, turning into a collection error. A collection error aborts the whole session for every job that globs tests/local_testing/**/test_*.py, which is why unrelated jobs like langfuse_logging_unit_tests (-k langfuse) and litellm_assistants_api_testing (-k assistants) both failed even though neither touches register_model; the -k filter only applies after collection. pytest discovers and runs these test_* functions on its own, so the top-level calls were dead and harmful. Removes them from test_register_model.py, test_wandb.py, test_lunary.py, and test_multiple_deployments.py, and adds a regression test that scans the directory for module-level test invocations. * test(local_testing): skip unparseable files in module-scope invocation guardrail A syntax error in any tests/local_testing file would make ast.parse raise an unhandled SyntaxError, so the guardrail itself would crash with a confusing traceback instead of its assertion message. Such a file already fails pytest collection on its own, which is the clearer signal, so the guardrail now skips files it cannot parse and stays focused on detecting module-scope test calls. Reads files as utf-8 for deterministic behavior across platforms.
52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
#### What this tests ####
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# This tests error handling + logging (esp. for sentry breadcrumbs)
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import sys, os
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import traceback
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sys.path.insert(
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0, os.path.abspath("../..")
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) # Adds the parent directory to the system path
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import pytest
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import litellm
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from litellm import completion
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messages = [{"role": "user", "content": "Hey, how's it going?"}]
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## All your mistral deployments ##
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model_list = [
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{
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"model_name": "mistral-7b-instruct",
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"litellm_params": { # params for litellm completion/embedding call
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"model": "replicate/mistralai/mistral-7b-instruct-v0.1:83b6a56e7c828e667f21fd596c338fd4f0039b46bcfa18d973e8e70e455fda70",
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"api_key": os.getenv("REPLICATE_API_KEY"),
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},
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},
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{
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"model_name": "mistral-7b-instruct",
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"litellm_params": { # params for litellm completion/embedding call
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"model": "together_ai/Qwen/Qwen2.5-7B-Instruct-Turbo",
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"api_key": os.getenv("TOGETHERAI_API_KEY"),
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},
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},
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{
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"model_name": "mistral-7b-instruct",
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"litellm_params": {
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"model": "deepinfra/mistralai/Mistral-7B-Instruct-v0.1",
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"api_key": os.getenv("DEEPINFRA_API_KEY"),
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},
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},
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]
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def test_multiple_deployments():
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try:
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## LiteLLM completion call ## returns first response
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response = completion(
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model="mistral-7b-instruct", messages=messages, model_list=model_list
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)
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print(f"response: {response}")
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except Exception as e:
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traceback.print_exc()
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pytest.fail(f"An exception occurred: {e}")
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